code: def CombConvLayer(in_channels, out_channels, kernel_size=1, stride=1):
      layer = nn.Sequential(
          (
              "layer1",
              ConvLayer(
                  in_channels, out_channels, kernel_size=kernel_size
              ),
          ),
          (
              "layer2",
              DWConvLayer(out_channels, out_channels, stride=stride),
          ),
      )
      return layer
  
file_path: PaddleDetection/ppdet/modeling/backbones/hardnet.py
imports: import paddle
  import paddle.nn
  from ppdet.core.workspace import register
  from ..shape_spec import ShapeSpec
label_desc: Use image node_id 3 for calling a global function with example usage: CombConvLayer(in_channels, out_channels, kernel_size, stride) and returns: layer